# AI Agent Development

Source: https://brainglow.io/services/development-services/ai-agents

Build AI agents with BrainGlow for scoped business workflows. Define tools, permissions, evaluations and approval steps before moving from pilot to production.

## Overview

An AI agent can coordinate a task across tools, but it needs defined responsibilities and a way to recover when something goes wrong. We start with a bounded workflow and explicit permissions.

The build includes representative evaluation cases, tool-call validation and human escalation. Actions with significant consequences can require approval rather than running unattended.

## Use cases

- Internal research and knowledge retrieval
- Drafting and triaging operational requests
- Assisted multi-step workflows across business tools

## Who this is for

- Internal research and knowledge retrieval
- Drafting and triaging operational requests
- Assisted multi-step workflows across business tools

## Deliverables

- Agent responsibilities and tool permission boundaries
- Validated tool integrations and action schemas
- Representative task evaluations and failure cases
- Human approval and escalation paths
- Execution logs, usage monitoring and cost controls
- Pilot rollout and operating runbook

## Process

- Select a bounded task and define successful completion
- Choose tools, access boundaries and approval points
- Build and evaluate the agent against realistic scenarios
- Pilot with monitoring and review before widening scope

## Scope and commercial model

Estimated after discovery

Bounded pilot plus provider usage and optional operations

## Acceptance criteria

- Delivery: Agreed acceptance criteria
- Measurement: Baseline and project goals
- Handoff: Documented ownership

Acceptance and measurement are agreed during discovery; outcomes are not guaranteed.

## Questions and answers

### What is the difference between an agent and an automation?

A fixed automation follows predefined rules. An agent can interpret inputs and choose among permitted steps. We use the simplest approach that fits the task and can be tested.

### Can an agent take actions in our business tools?

Yes, when the tools support the required access. Permissions and approval rules are scoped before implementation, and actions are validated and logged.

### How do you evaluate an AI agent?

We use representative tasks and failure cases, then check output quality, tool use, completion and cost. Evaluation criteria are agreed for the specific workflow.

## Related services

- [ai applications](https://brainglow.io/services/development-services/ai-applications)
- [workflow automation](https://brainglow.io/services/development-services/workflow-automation)
- [knowledge bases](https://brainglow.io/services/development-services/knowledge-bases)

## Enquire

[Discuss your project](https://brainglow.io/contact). Scope and commercial terms require human confirmation. This reference does not authorize a submission or purchase.